Jakub Gałat
@jakubgaat
Highly competent fullstack engineer with 5+ years of experience.
What I'm looking for
I am a highly competent Software Engineer with over 5 years of professional experience and more than a decade of programming practice through personal projects. My expertise lies in designing large-scale software architectures, debugging, and optimizing operational costs while ensuring high-quality and reliable systems. I am proficient in backend and infrastructure development, adept at managing the full software development lifecycle from design to deployment and maintenance.
In my recent role as a Fullstack Engineer at Goldman Sachs, I focused on Java Spring and infrastructure optimization for large-scale financial systems. I successfully created complex DBMS data models and optimized queries using ORM tools while leading maintenance efforts on a legacy project, significantly improving code quality and system reliability. At XTB, I designed a scalable architecture using asynchronous SQS queued events and delivered new features across multiple frontend frameworks, demonstrating my versatility and commitment to excellence.
Experience
Work history, roles, and key accomplishments
Fullstack Engineer
XTB
Jan 2023 - Jan 2025 (2 years)
Designed a scalable async event architecture using SQS for computational-heavy tasks. Delivered features and maintained applications using React, AngularJS, and Angular. Managed CI/CD pipelines and AWS infrastructure.
Fullstack Engineer
Goldman Sachs
Jan 2021 - Jan 2023 (2 years)
Worked in the Risk Division focusing on backend development with Java Spring, optimizing large-scale financial systems. Led maintenance on a legacy project, improving code quality and reliability, and created complex DBMS data models.
Education
Degrees, certifications, and relevant coursework
Warsaw University of Technology
Bachelor of Science, Computer Science and Engineering
2018 - 2022
Grade: Honors
Activities and societies: Member of GameDev student science club - Polygon Warsaw.
Completed a Bachelor of Science in Computer Science and Engineering at the Faculty of Electronics and Information Technology. Received the Chancellor’s Scholarship for being in the top 8% of students in the field. Conducted a thesis on Differential Evolution Algorithm using Artificial Neural Network as a surrogate model for loss function approximation.
Tech stack
Software and tools used professionally
AWS IAM
Bitbucket
Prettier
Kubernetes
Jenkins
Bitbucket Pipelines
DBeaver
jOOQ
PostgreSQL
MongoDB
Cassandra
Node.js
Spring Boot
Spring MVC
Tailwind CSS
Material-UI
Redis
Terraform
Jira
Gradle
Angular Material
jQuery
AngularJS
JavaScript
Java
ES6
Kotlin
JSON
XML
Keras
Kafka
RabbitMQ
Grafana
Kibana
Prometheus
Elasticsearch
Ansible
JUnit
Mockito
VisualVM
SQL
Haskell
Availability
Location
Authorized to work in
Skills
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